Likelihood methods

With the aim of inferring phylogenetic relationships among 86 species (including 45 species from Vietnam) mostly of the subfamily Convallarioideae (=Nolinoideae) (Asparagaceae sensu APG IV), we analyzed their chloroplast DNA sequences (rbcL and trnL-F) by both Bayesian inference (BI) and maximum likelihood (ML) methods. Our dataset included six of the seven tribes classified in this subfamily; Convallarieae, Dracaeneae, Liriopeae Nolineae, Polygonateae and Rusceae (Eriospermeae not examined).

17p dianmotminh02 03-05-2024 8 2   Download

The estimation of the model parameters is performed by maximum likelihood method. We hope that the new distribution proposed here will serve as an alternative model to the other models which are available in the literature for modeling positive real data in many areas.

11p guineverehuynh 22-06-2020 12 0   Download

This paper proposes a new distribution named the negative binomial-weighted Lindley. The study uses the maximum likelihood estimation to estimate the parameters of the proposed distribution and compares the performance of the new method with other distributions.

6p tohitohi 22-05-2020 12 0   Download

Lecture "Advanced Econometrics (Part II) - Chapter 1: Review of least squares & likelihood methods" presentation of content: Least quares methods, maximum likelihood estimation.

6p nghe123 06-05-2016 65 2   Download

Original article Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài: variance components in a mixed linear model using Gibbs sampling CS Marginal inferences about Wang* JJ Rutledge D Gianola University of Wisconsin-Madison, Department of Meat and Animal Science, Madison, WI 53706-1284, USA (Received 9 March 1992; accepted 7 October 1992) Summary - Arguing from a Bayesian viewpoint, Gianola and Foulley (1990) derived a new method for estimation of variance components in a mixed linear model: variance estimation from integrated...

0p toshiba20 12-11-2011 65 2   Download

Bai tập kinh tế lượng II. Mô hình hồi quy tổng thể PRICE = β1 + β2* SQUARE + β3* DISTANCE + β4 * PEOPLE + ui 1.kiểm định sự tồn tại của mô hình H0 : Mô hình hồi quy không tồn tại H1 : Mô hình hồi quy có tồn tại Dependent Variable: PRICE Method: Least Squares Date: 06/30/11 Time: 13:34 Sample: 1 85 Included observations: 85 Variable SQUARE DISTANCE PEOPLE C R-squared Adjusted R-squared S.E. of regression Sum squared resid Log likelihood Durbin-Watson stat Coefficient 0.039932 0.004014 0.073233 0.445857 0.367503 0.344077 0.638062 32.97696 -80.36899 1.306837 Std. Error 0.007997 0.017489...

9p tuoanh05 03-08-2011 104 23   Download